scholarly journals A survey on the design space of end-user-oriented languages for specifying robotic missions

2021 ◽  
Author(s):  
Swaib Dragule ◽  
Thorsten Berger ◽  
Claudio Menghi ◽  
Patrizio Pelliccione
Keyword(s):  
Mobile Robots ◽  
Design Space ◽  
State Of The Art ◽  
End Users ◽  
Feature Model ◽  
End User ◽  
Domain Specific ◽  
Current State ◽  
Mission Specification ◽  
Robotic Missions

AbstractMobile robots are becoming increasingly important in society. Fulfilling complex missions in different contexts and environments, robots are promising instruments to support our everyday live. As such, the task of defining the robot’s mission is moving from professional developers and roboticists to the end-users. However, with the current state-of-the-art, defining missions is non-trivial and typically requires dedicated programming skills. Since end-users usually lack such skills, many commercial robots are nowadays equipped with environments and domain-specific languages tailored for end-users. As such, the software support for defining missions is becoming an increasingly relevant criterion when buying or choosing robots. Improving these environments and languages for specifying missions toward simplicity and flexibility is crucial. To this end, we need to improve our empirical understanding of the current state-of-the-art of such languages and their environments. In this paper, we contribute in this direction. We present a survey of 30 mission specification environments for mobile robots that come with a visual and end-user-oriented language. We explore the design space of these languages and their environments, identify their concepts, and organize them as features in a feature model. We believe that our results are valuable to practitioners and researchers designing the next generation of mission specification languages in the vibrant domain of mobile robots.

scholarly journals Sampo-UI: A full stack JavaScript framework for developing semantic portal user interfaces

Semantic Web ◽  
2021 ◽  
pp. 1-16
Author(s):  
Esko Ikkala ◽  
Eero Hyvönen ◽  
Heikki Rantala ◽  
Mikko Koho
Keyword(s):  
User Interfaces ◽  
Linked Data ◽  
State Of The Art ◽  
Software Framework ◽  
End User ◽  
Faceted Search ◽  
Software Developer ◽  
Current State ◽  
Knowledge Graphs ◽  
User Friendly

This paper presents a new software framework, Sampo-UI, for developing user interfaces for semantic portals. The goal is to provide the end-user with multiple application perspectives to Linked Data knowledge graphs, and a two-step usage cycle based on faceted search combined with ready-to-use tooling for data analysis. For the software developer, the Sampo-UI framework makes it possible to create highly customizable, user-friendly, and responsive user interfaces using current state-of-the-art JavaScript libraries and data from SPARQL endpoints, while saving substantial coding effort. Sampo-UI is published on GitHub under the open MIT License and has been utilized in several internal and external projects. The framework has been used thus far in creating six published and five forth-coming portals, mostly related to the Cultural Heritage domain, that have had tens of thousands of end-users on the Web.

Word Sense Disambiguation

2013 ◽  
pp. 22-51
Author(s):  
Pushpak Bhattacharyya ◽  
Mitesh Khapra
Keyword(s):  
State Of The Art ◽  
Word Sense Disambiguation ◽  
Current Trend ◽  
General Purpose ◽  
Word Sense ◽  
Domain Specific ◽  
Knowledge Based ◽  
Current State ◽  
Sense Disambiguation ◽  
State Of Affairs

This chapter discusses the basic concepts of Word Sense Disambiguation (WSD) and the approaches to solving this problem. Both general purpose WSD and domain specific WSD are presented. The first part of the discussion focuses on existing approaches for WSD, including knowledge-based, supervised, semi-supervised, unsupervised, hybrid, and bilingual approaches. The accuracy value for general purpose WSD as the current state of affairs seems to be pegged at around 65%. This has motivated investigations into domain specific WSD, which is the current trend in the field. In the latter part of the chapter, we present a greedy neural network inspired algorithm for domain specific WSD and compare its performance with other state-of-the-art algorithms for WSD. Our experiments suggest that for domain-specific WSD, simply selecting the most frequent sense of a word does as well as any state-of-the-art algorithm.

scholarly journals A RESTful middleware for AI controlled sensors, actuators and smart devices

2019 ◽  
Vol 11 (7) ◽  
pp. 2963-2986 ◽  
Author(s):  
Nikos Dipsis ◽  
Kostas Stathis
Keyword(s):  
Smart Home ◽  
Learning Algorithm ◽  
State Of The Art ◽  
Smart Devices ◽  
Machine Learning Algorithm ◽  
Concrete Case ◽  
Domain Specific ◽  
Sensor Actuator ◽  
Current State

Abstract The numerous applications of internet of things (IoT) and sensor networks combined with specialized devices used in each has led to a proliferation of domain specific middleware, which in turn creates interoperability issues between the corresponding architectures and the technologies used. But what if we wanted to use a machine learning algorithm to an IoT application so that it adapts intelligently to changes of the environment, or enable a software agent to enrich with artificial intelligence (AI) a smart home consisting of multiple and possibly incompatible technologies? In this work we answer these questions by studying a framework that explores how to simplify the incorporation of AI capabilities to existing sensor-actuator networks or IoT infrastructures making the services offered in such settings smarter. Towards this goal we present eVATAR+, a middleware that implements the interactions within the context of such integrations systematically and transparently from the developers’ perspective. It also provides a simple and easy to use interface for developers to use. eVATAR+ uses JAVA server technologies enhanced by mediator functionality providing interoperability, maintainability and heterogeneity support. We exemplify eVATAR+ with a concrete case study and we evaluate the relative merits of our approach by comparing our work with the current state of the art.

An End-User Oriented Visual Programming Language

2014 ◽  
Vol 513-517 ◽  
pp. 2141-2144
Author(s):  
Ying Jia ◽  
Be Jun Shen ◽  
Tian Yu Yu ◽  
Jian Gang Zhu
Keyword(s):  
Information Systems ◽  
Field Studies ◽  
Visual Programming ◽  
End Users ◽  
Research Field ◽  
End User ◽  
Domain Specific ◽  
Web Information ◽  
Develop Software ◽  
Web Information Systems

With the promotion of IT applications and the rise of Web 2.0, mass users' individual requirements continue to emerge. How to quickly meet increasing development and maintenance requirements has been a critical problem of software development. Is it possible for end-users to develop software? This paper chooses Web information systems as the research field, studies the end-user programming technology, and designs an end-user oriented visual domain-specific language VUDSL for university Web information systems. VUDSL programming tools are also implemented, to support end-users without the knowledge of software engineering to develop target information systems by visual programming.

Biometrics

2003 ◽  
pp. 111-132
Author(s):  
Stewart T. Fleming
Keyword(s):  
State Of The Art ◽  
Computer Systems ◽  
Interactive Systems ◽  
End User ◽  
User Perceptions ◽  
Current State ◽  
Biometric Systems ◽  
System Designs

This chapter discusses the current state of the art of biometric systems. The use of biometrics is an important new part of the design of secure computer systems. However, many users view such systems with deep suspicion and many designers do not carefully consider the characteristics of biometrics in their system designs. This chapter aims to review the current state of the art in biometrics, to conduct detailed study of the available technologies and systems and to examine end-user perceptions of such systems. A framework is discussed that aims to establish guidelines for the design of interactive systems that include biometrics.

scholarly journals A Core-Guided Approach to Learning Optimal Causal Graphs

2017 ◽  
Author(s):  
Antti Hyttinen ◽  
Paul Saikko ◽  
Matti Järvisalo
Keyword(s):  
State Of The Art ◽  
Real World Data ◽  
Approach To Learning ◽  
Search Spaces ◽  
Domain Specific ◽  
Current State ◽  
Sample Data ◽  
General Search ◽  
Causal Graphs ◽  
Boolean Optimization

Discovery of causal relations is an important part of data analysis. Recent exact Boolean optimization approaches enable tackling very general search spaces of causal graphs with feedback cycles and latent confounders, simultaneously obtaining high accuracy by optimally combining conflicting independence information in sample data. We propose several domain-specific techniques and integrate them into a core-guided maximum satisfiability solver, thereby speeding up current state of the art in exact search for causal graphs with cycles and latent confounders on simulated and real-world data.

Provenance Tracking and End-User Oriented Query Construction

2011 ◽  
pp. 60-75 ◽  
Author(s):  
Bartosz Balis ◽  
Marian Bubak ◽  
Michal Pelczar ◽  
Jakub Wach
Keyword(s):  
Information Integration ◽  
In Silico ◽  
Tracking System ◽  
End Users ◽  
End User ◽  
Experiment Data ◽  
Query Translation ◽  
Domain Specific ◽  
Translation Tools ◽  
Visual Querying

Provenance tracking is an indispensable element of each e-Science infrastructure for conducting in silico experiments. However, enabling end-users who are non-IT experts to query provenance and experiment data in a meaningful way is equally important. The authors propose an ontology-based provenance model which captures the execution of in silico experiments, as well as domain-specific semantics of data and computations used in those experiments. They demonstrate how ontologies can serve as inter-lingua for end-users, provenance tracking system, and query tools. Query Translation Tools (QUaTRO), enabling end-user oriented, ontology-guided visual querying over provenance records and experiment data, are also presented. In those tools, they also show how the ontology models enable semantic information integration of provenance metadata and experiment data, enabling queries capable of exploring the structure of provenance and associated experiment data. Their approach is demonstrated on a Drug Resistance application deployed in the ViroLab Project.

Identification and Implementation of End-User Needs During Development of a State-of-the-Art Modeling Toolset

2011 ◽  
Author(s):  
Roger Seitz ◽  
Mark Freshley ◽  
Mark Williamson ◽  
Paul Dixon ◽  
Kurt Gerdes ◽  
...  
Keyword(s):  
Environmental Management ◽  
User Interfaces ◽  
State Of The Art ◽  
Phase 1 ◽  
National Laboratory ◽  
User Involvement ◽  
End Users ◽  
Department Of Energy ◽  
User Needs ◽  
End User

The U.S. Department of Energy (US DOE) Office of Environmental Management, Technology Innovation and Development is supporting a multi-National Laboratory effort to develop the Advanced Simulation Capability for Environmental Management (ASCEM). ASCEM is an emerging state-of-the-art scientific approach and software infrastructure for understanding and predicting contaminant fate and transport in natural and engineered systems. These modular and open-source high performance computing tools and user interfaces will facilitate integrated approaches that enable standardized assessments of performance and risk for EM cleanup and closure decisions. The ASCEM team recognized that engaging end-users in the ASCEM development process would lead to enhanced development and implementation of the ASCEM toolsets in the user community. End-user involvement in ASCEM covers a broad spectrum of perspectives, including: performance assessment (PA) and risk assessment practitioners, research scientists, decision-makers, oversight personnel, and regulators engaged in the US DOE cleanup mission. End-users are primarily engaged in ASCEM via the ASCEM User Steering Committee (USC) and the ‘user needs interface’ task. Future plans also include user involvement in demonstrations of the ASCEM tools. This paper will describe the details of how end users have been engaged in the ASCEM program and will demonstrate how this involvement has strengthened both the tool development and community confidence. ASCEM tools requested by end-users specifically target modeling challenges associated with US DOE cleanup activities. The demonstration activities involve application of ASCEM tools and capabilities to representative problems at DOE sites. Selected results from the ASCEM Phase 1 demonstrations are discussed to illustrate how capabilities requested by end-users were implemented in prototype versions of the ASCEM tool.

scholarly journals Charting the design space of query execution using VOILA

2021 ◽  
Vol 14 (6) ◽  
pp. 1067-1079
Author(s):  
Tim Gubner ◽  
Peter Boncz
Keyword(s):  
Design Space ◽  
State Of The Art ◽  
Domain Specific Language ◽  
Query Execution ◽  
Exploration Process ◽  
Specific Language ◽  
Domain Specific ◽  
Engine Design ◽  
Query Engine ◽  
Basic Concepts

Database architecture, while having been studied for four decades now, has delivered only a few designs with well-understood properties. These few are followed by most actual systems. Acquiring more knowledge about the design space is a very time-consuming processes that requires manually crafting prototypes with a low chance of generating material insight. We propose a framework that aims to accelerate this exploration process significantly. Our framework enables synthesizing many different engines from a description in a carefully designed domain-specific language (VOILA). We explain basic concepts and formally define the semantics of VOILA. We demonstrate VOILA's flexibility by presenting translation back-ends that allow the synthesis of state-of-the-art paradigms (data-centric compilation, vectorized execution, AVX-512), mutations and mixes thereof. We show-case VOILA's flexibility by exploring the query engine design space in an automated fashion. We generated thousands of query engines and report our findings. Queries generated by VOILA achieve similar performance as state-of-the-art hand-optimized implementations and are up to 35.5X faster than well-known systems.

scholarly journals Model Driven Software Engineering Meta-Workbenches: An XTools Approach

2020 ◽  
Vol 26 (9) ◽  
pp. 1148-1176
Author(s):  
Tony Clark ◽  
Jens Gulden
Keyword(s):  
Software Engineering ◽  
State Of The Art ◽  
Domain Specific Language ◽  
Specific Language ◽  
Model Driven ◽  
Modelling Languages ◽  
Domain Specific ◽  
Current State ◽  
Software Modelling ◽  
Language Workbenches

Model Driven Software Engineering aims to provide a quality assured process for designing and generating software. Modelling frameworks that offer technologies for domain specific language and associated tool construction are called language workbenches. Since modelling is itself a domain, there are benefits to applying a workbenchbased approach to the construction of modelling languages and tools. Such a framework is a meta-modelling tool and those that can generate themselves are reflective metatools. This article reviews the current state of the art for modelling tools and proposes a set of reflective meta-modelling tool requirements. The XTools framework has been designed as a reflective meta-tool and is used as a benchmark.

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